Platform Overview
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you.
Request a DemoAutomating and accelerating the management
of your ML processes
Most teams discover that there’s more to just deploying models, which is already a very manual and
time-consuming task.
Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models
in
production. We help you automate, optimize, and accelerate your ML models to ensure that they are running
smoothly and
efficiently in production.
Use Any Framework
Data Scientists use a variety of frameworks
to build the best models. We support
anything you’d build a model with ( e.g.
TensorFlow, H2O, Scikit-Learn, and SAS ) .
Write in Multiple Languages
Different teams use different languages.
No worries, Datatron supports models
built using the languages you already use
( E.g. SAS, Python, R, Scala, etc. ).
On-Prem, In the Cloud, Hybrid, or Airgap
Whether your infrastructure is designed for
on-prem, multi-cloud, or both, Datatron works
across AWS, Azure, Google Cloud, as well as
on-premises options.
Datatron Features
Model Catalog
Explore models built and uploaded by your
Data Science team, all from one centralized
repository.
Model Deployment
Create a scalable model deployment in just a
few clicks. Deploy models built using any
language or framework.
Model Monitoring
Make better decisions based on your model
performance. Monitor models and get alerted
for model decay and anomalies.
Model Governance
Spend less time on model validation, bias
detection, and internal audit processes.
Go from model development to internal
auditing to production faster than ever.